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// RUN — FITS
Can the NVIDIA B200 run Ankh_large?
Yes — here's how fast and up to what context, with real measured numbers.
Ankh_large on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2614k | 1536.8-1831.6 t/s | ~7.7-9.2 (slow) |
| Q8 | yes | 2643k | 3073.7-3663.2 t/s | ~15.4-18.3 (slow) |
| Q4 | yes | 2656k | 5488.7-6541.4 t/s | ~27.4-32.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA B200 run Ankh_large?▶
Yes. At Q4 it generates ~5488.7-6541.4 tok/s and fits up to 2656k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~27.4-32.7 tok/s.
How much context fits?▶
At Q4, up to about 2656k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.